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Distributed .NET with Microsoft Orleans

You're reading from   Distributed .NET with Microsoft Orleans Build robust and highly scalable distributed applications without worrying about complex programming patterns

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801818971
Length 262 pages
Edition 1st Edition
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Authors (2):
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Bhupesh Guptha Muthiyalu Bhupesh Guptha Muthiyalu
Author Profile Icon Bhupesh Guptha Muthiyalu
Bhupesh Guptha Muthiyalu
Suneel Kumar Kunani Suneel Kumar Kunani
Author Profile Icon Suneel Kumar Kunani
Suneel Kumar Kunani
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Table of Contents (17) Chapters Close

Preface 1. Section 1 - Distributed Applications Architecture
2. Chapter 1: An Introduction to Distributed Applications FREE CHAPTER 3. Chapter 2: Cloud Architecture and Patterns for Distributed Applications 4. Section 2 - Working with Microsoft Orleans
5. Chapter 3: Introduction to Microsoft Orleans 6. Chapter 4: Understanding Grains and Silos 7. Chapter 5: Persistence in Grains 8. Chapter 6: Scheduling and Notifying in Orleans 9. Chapter 7: Engineering Fundamentals in Orleans 10. Section 3 - Building Patterns in Orleans
11. Chapter 8: Advanced Concepts in Orleans 12. Chapter 9: Design Patterns in Orleans 13. Section 4 - Hosting and Deploying Orleans Applications to Azure
14. Chapter 10: Deploying an Orleans Application in Azure Kubernetes 15. Chapter 11: Deploying an Orleans Application to Azure App Service 16. Other Books You May Enjoy

Understanding Azure Kubernetes

As we all know, microservice architecture consists of small, loosely coupled, independent, and autonomous services. Services can be deployed and scaled independently and communicate with each other via well-defined APIs or messaging systems such as Azure Service Bus. As shown in the microservice architecture in the following figure, a large application is broken down into smaller services where each service is self-contained and can be deployed and scaled independently. Each service is responsible for managing its own data stores and scenarios demanding lower latency can be optimized by bringing in a cache or high-performance NoSQL stores:

Figure 10.1 – Microservice architecture

One of the main challenges with microservices is having too many components and moving parts involved. Managing them sometimes can be very tedious, especially with no automation. This is where containers and AKS come into the picture. Containers...

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